Behavior of bolt-connected steel plate girder attributable to bolt loosening failure in the lower flange

You, Jun Min; Hong, Yu; Jeon, Seok Hyeon; Huh, Jungwon; Ahn, Jin-Hee

doi:10.1016/j.engfailanal.2019.104208

Cited by 10 publications

(6 citation statements)

References 31 publications

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“…Qin and Chu 25 pointed out that looseness of bolts would lead to local time-varying stiffness of aeroengine rotor. You et al 26 studied the structural performance changes of high-strength bolted steel plate beam caused by bolt looseness, and obtained the influence law of bolt looseness on stiffness loss.…”

Section: Introductionmentioning

confidence: 99%

Stiffness and geometry characteristics of flange connection with bolt failure and its influence on rotor dynamics

Liu

Zhao

Guo

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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Flange connection is widely used in aero-engine rotor system. The state of bolt is very important to the stable operation of the rotor, but the impact of bolt failure on the dynamic characteristics of the rotor system is not clear. Thus, the stiffness and geometry characteristics of flange connection with bolts failure and its influence on rotor dynamic response are studied. Firstly, a three-dimensional solid finite element model considering contact characteristics and a stiffness test device for flange connection with spigot are established. The stiffness characteristics and axis bending characteristics of flange connection after bolt failure are obtained by numerical simulation and experiment test. Secondly, the motion equation of the rotor with the characteristics of local stiffness asymmetric and initial bending result from bolt failure of the flange connection is established by a novel modeling method, and the dynamic response characteristics of the rotor are studied; Finally, a rotor test bench with flange connection is established to test the dynamics of the rotor when bolts fail, and its frequency spectrum and orbit characteristics are analyzed. The research results can provide a theoretical basis for simulation and identification of the bolt failure in rotating machinery system.

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Section: Introductionmentioning

confidence: 99%

Stiffness and geometry characteristics of flange connection with bolt failure and its influence on rotor dynamics

Liu

Zhao

Guo

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…Overall, bolted connections are preferred since the welding quality extremely depends on operators' experience and on-site conditions. 1,2 However, bolted connections are prone to losing sufficient preload, which may result in disasters. Several methods have been proposed to detect bolt looseness, such as acoustic emission method, 3 vision-based methods, 4,5 active sensing method, [6][7][8][9] electromechanical impedance (EMI) method, [10][11][12] vibro-acoustic modulation method, 13,14 vibration-based method, 15 fiber-optic-based method, 16,17 and percussion-based method.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, inspired by the concept of entropy, Wang et al 26 improved the active sensing via SVM to detect multi-bolt looseness, which provides good guidance for this investigation. Even so, their research still has several disadvantages: (1) constant contact between Lead Zirconate Titanate (PZT) transducers and structure is implemented, which may lead to inconvenience in some cases (for instance, in terms of pipelines in offshore oil engineering, it is a bit difficult and uneconomical to provide power supply and ensure the durability of constant contact transducers); (2) ML technique is utilized, which may not ensure promising performance due to the suboptimal combination of specific features and classifier.…”

Section: Introductionmentioning

confidence: 99%

A novel autonomous strategy for multi-bolt looseness detection using smart glove and Siamese double-path CapsNet

Wang

2021

Structural Health Monitoring

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Recently, the issue of bolt looseness has attracted more attention due to its severe consequences. Among different methods for bolt looseness detection, the active sensing method that is based on stress wave signals is preferred since it is low cost and high robust. However, current active sensing method depends on permanent contact sensors, which may be impractical. Moreover, the investigation of multi-bolt looseness detection via the active sensing is very limited so far. With the above deficiency in mind, we propose a new robotic-assisted active sensing method based on our newly designed PZT-enabled smart gloves (SGs) and position-based visual servoing (PBVS) technique. Particularly, another main contribution is that we develop a new Siamese CapsNet to classify stress wave signals under different cases for multi-bolt looseness detection. Compared to machine learning (ML) and traditional deep learning techniques such as Convolutional Neural Networks (CNN), the proposed Siamese CapsNet model can achieve better performance and realize the recognition of signals that is never used during the training, which is impossible for common classification methods. Finally, an experiment is conducted to verify the effectiveness of the proposed method and Siamese CapsNet, which can guide future research significantly.

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“…Especially products used for prestressed and friction joints. Jun Min You [4] wrote about the problem of loosening bolts, paying attention to the bolt connections of the lower flange. A decrease in the rigidity of steel sheet girders by about 15% -17% when loosening a bolt is a very dangerous phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Distribution of the friction coefficient in the tension connections by the HV set using the combined method

Dubiel¹,

Osetek

Majka

2021

ce papers

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The use of bolts in steel structures nowadays is one of the cheapest, fastest and easiest solutions for joining elements. HV high‐strength bolts used in tension connections are a special type of fasteners covered by supervision beginning with the selection of the material from which they will be made through the production process and quality confirmation, ending with clearly defined assembly requirements. The tests were focused on two assortments of M16 and M24 bolt assemblies made according to EN 14399. A test of the suitability of the connection was performed, expanding it with tests of the coefficient of friction on the bolt thread and between the nut head and washer according to EN ISO 16047. The dynamic joint load tests showed that the distribution of the coefficient of friction on the thread and between the nut and the washer affects the degree of tension through the preloading force. Tensile tests were carried out on the both aforementioned assortments. The determined yield point of the bolt was analyzed, which was referred to the stress causing plastic deformation in the test of connection suitability. Bolts in two systems of forces were compared with each other (simple ‐ stretching and complex ‐ stretching and torsion) and the difference between them was shown. Based on the correlation of results from both tests, the importance of the K‐factor on the mechanical properties of the HV set was emphasized. The dependence of the K‐factor on the coefficients of friction in a bolted joint has been demonstrated. HV high‐strength bolt sets consider assembly procedures using a combined method according EN 1090‐2. Cases of exceeding the yield point of the bolt during assembly and permanent deformation of the fastener have been shown. The scope of assembly was determined in the elastic range and the transition to the range of plastic deformations. Again, reference was made to the coefficient of friction and its effect on the difference in the obtained preloading force leading to risky assembly in the plastic range.

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Behavior of bolt-connected steel plate girder attributable to bolt loosening failure in the lower flange

Cited by 10 publications

References 31 publications

Stiffness and geometry characteristics of flange connection with bolt failure and its influence on rotor dynamics

Stiffness and geometry characteristics of flange connection with bolt failure and its influence on rotor dynamics

A novel autonomous strategy for multi-bolt looseness detection using smart glove and Siamese double-path CapsNet

Distribution of the friction coefficient in the tension connections by the HV set using the combined method

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